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MySQL5.6PERFORMANCE_SCHEMA说明_MySQL

背景:

MySQL 5.5开始新增一个数据库:PERFORMANCE_SCHEMA,主要用于收集数据库服务器性能参数。并且库里表的存储引擎均为PERFORMANCE_SCHEMA,而用户是不能创建存储引擎为PERFORMANCE_SCHEMA的表。MySQL5.5默认是关闭的,需要手动开启,在配置文件里添加:

view sourceprint?1.[mysqld]2.performance_schema=ON

查看是否开启:

view sourceprint?1.mysql>show variables like 'performance_schema';2.+--------------------+-------+3.| Variable_name      | Value |4.+--------------------+-------+5.| performance_schema | ON    |6.+--------------------+-------+

从MySQL5.6开始,默认打开,本文就从MySQL5.6来说明,在数据库使用当中PERFORMANCE_SCHEMA的一些比较常用的功能。具体的信息可以查看官方文档。

相关表信息:

一:配置(setup)表:

view sourceprint?01.zjy@performance_schema 10:16:56>show tables like '%setup%';02.+----------------------------------------+03.| Tables_in_performance_schema (%setup%) |04.+----------------------------------------+05.| setup_actors                           |06.| setup_consumers                        |07.| setup_instruments                      |08.| setup_objects                          |09.| setup_timers                           |10.+----------------------------------------+

1,setup_actors:配置用户纬度的监控,默认监控所有用户。

view sourceprint?1.zjy@performance_schema 10:19:11>select * from setup_actors;2.+------+------+------+3.| HOST | USER | ROLE |4.+------+------+------+5.| %    | %    | %    |6.+------+------+------+

2,setup_consumers:配置events的消费者类型,即收集的events写入到哪些统计表中。

view sourceprint?01.zjy@: performance_schema 10:23:35>select * from setup_consumers;02.+--------------------------------+---------+03.| NAME                           | ENABLED |04.+--------------------------------+---------+05.| events_stages_current          | NO      |06.| events_stages_history          | NO      |07.| events_stages_history_long     | NO      |08.| events_statements_current      | YES     |09.| events_statements_history      | NO      |10.| events_statements_history_long | NO      |11.| events_waits_current           | NO      |12.| events_waits_history           | NO      |13.| events_waits_history_long      | NO      |14.| global_instrumentation         | YES     |15.| thread_instrumentation         | YES     |16.| statements_digest              | YES     |17.+--------------------------------+---------+

这里需要说明的是需要查看哪个就更新其ENABLED列为YES。如:

view sourceprint?1.zjy@performance_schema 10:25:02>update setup_consumers set ENABLED='YES' where NAME in ('events_stages_current','events_waits_current');2.Query OK, 2 rows affected (0.00 sec)

更新完后立即生效,但是服务器重启之后又会变回默认值,要永久生效需要在配置文件里添加:

view sourceprint?1.[mysqld]2.#performance_schema3.performance_schema_consumer_events_waits_current=on4.performance_schema_consumer_events_stages_current=on5.performance_schema_consumer_events_statements_current=on6.performance_schema_consumer_events_waits_history=on7.performance_schema_consumer_events_stages_history=on8.performance_schema_consumer_events_statements_history=on

即在这些表的前面加上:performance_schema_consumer_xxx。表setup_consumers里面的值有个层级关系:

view sourceprint?1.global_instrumentation > thread_instrumentation = statements_digest > events_stages_current = events_statements_current = events_waits_current > events_stages_history = events_statements_history = events_waits_history > events_stages_history_long = events_statements_history_long = events_waits_history_long

只有上一层次的为YES,才会继续检查该本层为YES or NO。global_instrumentation是最高级别consumer,如果它设置为NO,则所有的consumer都会忽略。其中history和history_long存的是current表的历史记录条数,history表记录了每个线程最近等待的10个事件,而history_long表则记录了最近所有线程产生的10000个事件,这里的10和10000都是可以配置的。这三个表表结构相同,history和history_long表数据都来源于current表。长度通过控制参数:

view sourceprint?01.zjy@performance_schema 11:10:03>show variables like 'performance_schema%history%size';02.+--------------------------------------------------------+-------+03.| Variable_name                                          | Value |04.+--------------------------------------------------------+-------+05.| performance_schema_events_stages_history_long_size     | 10000 |06.| performance_schema_events_stages_history_size          | 10    |07.| performance_schema_events_statements_history_long_size | 10000 |08.| performance_schema_events_statements_history_size      | 10    |09.| performance_schema_events_waits_history_long_size      | 10000 |10.| performance_schema_events_waits_history_size           | 10    |11.+--------------------------------------------------------+-------+3,setup_instruments:配置具体的instrument,主要包含4大类:idle、stage/xxx、statement/xxx、wait/xxx:view sourceprint?01.zjy@performance_schema 10:56:35>select name,count(*) from setup_instruments group by LEFT(name,5);02.+---------------------------------+----------+03.| name                            | count(*) |04.+---------------------------------+----------+05.| idle                            |        1 |06.| stage/sql/After create          |      111 |07.| statement/sql/select            |      179 |08.| wait/synch/mutex/sql/PAGE::lock |      296 |09.+---------------------------------+----------+

idle表示socket空闲的时间,stage类表示语句的每个执行阶段的统计,statement类统计语句维度的信息,wait类统计各种等待事件,比如IO,mutux,spin_lock,condition等。

4,setup_objects:配置监控对象,默认对mysql,performance_schema和information_schema中的表都不监控,而其它DB的所有表都监控。

view sourceprint?01.zjy@performance_schema 11:00:18>select * from setup_objects;02.+-------------+--------------------+-------------+---------+-------+03.| OBJECT_TYPE | OBJECT_SCHEMA      | OBJECT_NAME | ENABLED | TIMED |04.+-------------+--------------------+-------------+---------+-------+05.| TABLE       | mysql              | %           | NO      | NO    |06.| TABLE       | performance_schema | %           | NO      | NO    |07.| TABLE       | information_schema | %           | NO      | NO    |08.| TABLE       | %                  | %           | YES     | YES   |09.+-------------+--------------------+-------------+---------+-------+

5,setup_timers:配置每种类型指令的统计时间单位。MICROSECOND表示统计单位是微妙,CYCLE表示统计单位是时钟周期,时间度量与CPU的主频有关,NANOSECOND表示统计单位是纳秒。但无论采用哪种度量单位,最终统计表中统计的时间都会装换到皮秒。(1秒=1000000000000皮秒)

view sourceprint?01.zjy@performance_schema 11:05:12>select * from setup_timers;02.+-----------+-------------+03.| NAME      | TIMER_NAME  |04.+-----------+-------------+05.| idle      | MICROSECOND |06.| wait      | CYCLE       |07.| stage     | NANOSECOND  |08.| statement | NANOSECOND  |09.+-----------+-------------+

二:instance表

1,cond_instances:条件等待对象实例

表中记录了系统中使用的条件变量的对象,OBJECT_INSTANCE_BEGIN为对象的内存地址。

2,file_instances:文件实例

表中记录了系统中打开了文件的对象,包括ibdata文件,redo文件,binlog文件,用户的表文件等,open_count显示当前文件打开的数目,如果重来没有打开过,不会出现在表中。

view sourceprint?01.zjy@performance_schema 11:20:04>select * from file_instances limit 2,5;02.+---------------------------------+--------------------------------------+------------+03.| FILE_NAME                       | EVENT_NAME                           | OPEN_COUNT |04.+---------------------------------+--------------------------------------+------------+05.| /var/lib/mysql/mysql/plugin.frm | wait/io/file/sql/FRM                 |          0 |06.| /var/lib/mysql/mysql/plugin.MYI | wait/io/file/myisam/kfile            |          1 |07.| /var/lib/mysql/mysql/plugin.MYD | wait/io/file/myisam/dfile            |          1 |08.| /var/lib/mysql/ibdata1          | wait/io/file/innodb/innodb_data_file |          2 |09.| /var/lib/mysql/ib_logfile0      | wait/io/file/innodb/innodb_log_file  |          2 |10.+---------------------------------+--------------------------------------+------------+

3,mutex_instances:互斥同步对象实例

表中记录了系统中使用互斥量对象的所有记录,其中name为:wait/synch/mutex/*。LOCKED_BY_THREAD_ID显示哪个线程正持有mutex,若没有线程持有,则为NULL。

4,rwlock_instances: 读写锁同步对象实例

表中记录了系统中使用读写锁对象的所有记录,其中name为 wait/synch/rwlock/*。WRITE_LOCKED_BY_THREAD_ID为正在持有该对象的thread_id,若没有线程持有,则为NULL。READ_LOCKED_BY_COUNT为记录了同时有多少个读者持有读锁。(通过 events_waits_current 表可以知道,哪个线程在等待锁;通过rwlock_instances知道哪个线程持有锁。rwlock_instances的缺陷是,只能记录持有写锁的线程,对于读锁则无能为力)。

5,socket_instances:活跃会话对象实例
表中记录了thread_id,socket_id,ip和port,其它表可以通过thread_id与socket_instance进行关联,获取IP-PORT信息,能够与应用对接起来。
event_name主要包含3类:

wait/io/socket/sql/server_unix_socket,服务端unix监听socket
wait/io/socket/sql/server_tcpip_socket,服务端tcp监听socket
wait/io/socket/sql/client_connection,客户端socket

三:Wait表

1,events_waits_current:记录了当前线程等待的事件

2,events_waits_history:记录了每个线程最近等待的10个事件

3,events_waits_history_long:记录了最近所有线程产生的10000个事件

表结构定义如下:

view sourceprint?01.CREATE TABLE `events_waits_current` (02.`THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',03.`EVENT_ID` bigint(20) unsigned NOT NULL COMMENT '当前线程的事件ID,和THREAD_ID确定唯一',04.`END_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '当事件开始时,这一列被设置为NULL。当事件结束时,再更新为当前的事件ID',05.`EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',06.`SOURCE` varchar(64) DEFAULT NULL COMMENT '该事件产生时的源码文件',07.`TIMER_START` bigint(20) unsigned DEFAULT NULL COMMENT '事件开始时间(皮秒)',08.`TIMER_END` bigint(20) unsigned DEFAULT NULL COMMENT '事件结束结束时间(皮秒)',09.`TIMER_WAIT` bigint(20) unsigned DEFAULT NULL COMMENT '事件等待时间(皮秒)',10.`SPINS` int(10) unsigned DEFAULT NULL COMMENT '',11.`OBJECT_SCHEMA` varchar(64) DEFAULT NULL COMMENT '库名',12.`OBJECT_NAME` varchar(512) DEFAULT NULL COMMENT '文件名、表名、IP:SOCK值',13.`OBJECT_TYPE` varchar(64) DEFAULT NULL COMMENT 'FILE、TABLE、TEMPORARY TABLE',14.`INDEX_NAME` varchar(64) DEFAULT NULL COMMENT '索引名',15.`OBJECT_INSTANCE_BEGIN` bigint(20) unsigned NOT NULL COMMENT '内存地址',16.`NESTING_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '该事件对应的父事件ID',17.`NESTING_EVENT_TYPE` enum('STATEMENT','STAGE','WAIT') DEFAULT NULL COMMENT '父事件类型(STATEMENT, STAGE, WAIT)',18.`OPERATION` varchar(32) NOT NULL COMMENT '操作类型(lock, read, write)',19.`NUMBER_OF_BYTES` bigint(20) DEFAULT NULL COMMENT '',20.`FLAGS` int(10) unsigned DEFAULT NULL COMMENT '标记'21.) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

四:Stage 表

1,events_stages_current:记录了当前线程所处的执行阶段

2,events_stages_history:记录了当前线程所处的执行阶段10条历史记录

3,events_stages_history_long:记录了当前线程所处的执行阶段10000条历史记录

表结构定义如下:

view sourceprint?01.CREATE TABLE `events_stages_current` (02.`THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',03.`EVENT_ID` bigint(20) unsigned NOT NULL COMMENT '事件ID',04.`END_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '结束事件ID',05.`EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',06.`SOURCE` varchar(64) DEFAULT NULL COMMENT '源码位置',07.`TIMER_START` bigint(20) unsigned DEFAULT NULL COMMENT '事件开始时间(皮秒)',08.`TIMER_END` bigint(20) unsigned DEFAULT NULL COMMENT '事件结束结束时间(皮秒)',09.`TIMER_WAIT` bigint(20) unsigned DEFAULT NULL COMMENT '事件等待时间(皮秒)',10.`NESTING_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '该事件对应的父事件ID',11.`NESTING_EVENT_TYPE` enum('STATEMENT','STAGE','WAIT') DEFAULT NULL COMMENT '父事件类型(STATEMENT, STAGE, WAIT)'12.) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

五:Statement 表

1,events_statements_current:通过 thread_id+event_id可以唯一确定一条记录。Statments表只记录最顶层的请求,SQL语句或是COMMAND,每条语句一行。event_name形式为statement/sql/*,或statement/com/*

2,events_statements_history

3,events_statements_history_long

表结构定义如下:


view sourceprint?01.CREATE TABLE `events_statements_current` (02.`THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',03.`EVENT_ID` bigint(20) unsigned NOT NULL COMMENT '事件ID',04.`END_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '结束事件ID',05.`EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',06.`SOURCE` varchar(64) DEFAULT NULL COMMENT '源码位置',07.`TIMER_START` bigint(20) unsigned DEFAULT NULL COMMENT '事件开始时间(皮秒)',08.`TIMER_END` bigint(20) unsigned DEFAULT NULL COMMENT '事件结束结束时间(皮秒)',09.`TIMER_WAIT` bigint(20) unsigned DEFAULT NULL COMMENT '事件等待时间(皮秒)',10.`LOCK_TIME` bigint(20) unsigned NOT NULL COMMENT '锁时间',11.`SQL_TEXT` longtext COMMENT '记录SQL语句',12.`DIGEST` varchar(32) DEFAULT NULL COMMENT '对SQL_TEXT做MD5产生的32位字符串',13.`DIGEST_TEXT` longtext COMMENT '将语句中值部分用问号代替,用于SQL语句归类',14.`CURRENT_SCHEMA` varchar(64) DEFAULT NULL COMMENT '默认的数据库名',15.`OBJECT_TYPE` varchar(64) DEFAULT NULL COMMENT '保留字段',16.`OBJECT_SCHEMA` varchar(64) DEFAULT NULL COMMENT '保留字段',17.`OBJECT_NAME` varchar(64) DEFAULT NULL COMMENT '保留字段',18.`OBJECT_INSTANCE_BEGIN` bigint(20) unsigned DEFAULT NULL COMMENT '内存地址',19.`MYSQL_ERRNO` int(11) DEFAULT NULL COMMENT '',20.`RETURNED_SQLSTATE` varchar(5) DEFAULT NULL COMMENT '',21.`MESSAGE_TEXT` varchar(128) DEFAULT NULL COMMENT '信息',22.`ERRORS` bigint(20) unsigned NOT NULL COMMENT '错误数目',23.`WARNINGS` bigint(20) unsigned NOT NULL COMMENT '警告数目',24.`ROWS_AFFECTED` bigint(20) unsigned NOT NULL COMMENT '影响的数目',25.`ROWS_SENT` bigint(20) unsigned NOT NULL COMMENT '返回的记录数',26.`ROWS_EXAMINED` bigint(20) unsigned NOT NULL COMMENT '读取扫描的记录数目',27.`CREATED_TMP_DISK_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建磁盘临时表数目',28.`CREATED_TMP_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建临时表数目',29.`SELECT_FULL_JOIN` bigint(20) unsigned NOT NULL COMMENT 'join时,第一个表为全表扫描的数目',30.`SELECT_FULL_RANGE_JOIN` bigint(20) unsigned NOT NULL COMMENT '引用表采用range方式扫描的数目',31.`SELECT_RANGE` bigint(20) unsigned NOT NULL COMMENT 'join时,第一个表采用range方式扫描的数目',32.`SELECT_RANGE_CHECK` bigint(20) unsigned NOT NULL COMMENT '',33.`SELECT_SCAN` bigint(20) unsigned NOT NULL COMMENT 'join时,第一个表位全表扫描的数目',34.`SORT_MERGE_PASSES` bigint(20) unsigned NOT NULL COMMENT '',35.`SORT_RANGE` bigint(20) unsigned NOT NULL COMMENT '范围排序数目',36.`SORT_ROWS` bigint(20) unsigned NOT NULL COMMENT '排序的记录数目',37.`SORT_SCAN` bigint(20) unsigned NOT NULL COMMENT '全表排序数目',38.`NO_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '没有使用索引数目',39.`NO_GOOD_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '',40.`NESTING_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '该事件对应的父事件ID',41.`NESTING_EVENT_TYPE` enum('STATEMENT','STAGE','WAIT') DEFAULT NULL COMMENT '父事件类型(STATEMENT, STAGE, WAIT)'42.) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8view sourceprint?

六:Connection 表

1,users:记录用户连接数信息

2,hosts:记录了主机连接数信息

3,accounts:记录了用户主机连接数信息

加载中...加载中...

01.zjy@performance_schema 12:03:27>select * from users;02.+------------------+---------------------+-------------------+03.| USER             | CURRENT_CONNECTIONS | TOTAL_CONNECTIONS |04.+------------------+---------------------+-------------------+05.| debian-sys-maint |                   0 |                36 |06.| zjy              |                   1 |             22285 |07.| dchat_php        |                   0 |             37864 |08.| dxyslave         |                   2 |                 9 |09.| nagios           |                   0 |             10770 |10.| dchat_data       |                 140 |           2233023 |11.| NULL             |                   0 |             15866 |12.| dchat_api        |                 160 |           2754212 |13.| mha_data         |                   1 |                36 |14.| backup           |                   0 |                15 |15.| cacti            |                   0 |              4312 |16.| kol              |                  10 |            172414 |17.+------------------+---------------------+-------------------+18.12 rows in set (0.00 sec)19. 20.zjy@performance_schema 12:03:34>select * from hosts;21.+-----------------+---------------------+-------------------+22.| HOST            | CURRENT_CONNECTIONS | TOTAL_CONNECTIONS |23.+-----------------+---------------------+-------------------+24.| 192.168.100.218 |                 150 |           2499422 |25.| 192.168.100.240 |                  10 |            172429 |26.| 192.168.100.139 |                   0 |               698 |27.| 192.168.100.21  |                   0 |                 2 |28.| 192.168.100.220 |                 150 |           2526136 |29.| 192.168.100.25  |                   1 |                 7 |30.| NULL            |                   0 |             15867 |31.| 192.168.100.241 |                   0 |             21558 |32.| 192.168.100.191 |                   1 |                34 |33.| localhost       |                   0 |             10807 |34.| 192.168.100.118 |                   1 |                 2 |35.| 192.168.100.251 |                   0 |              4312 |36.| 192.168.100.23  |                   1 |                31 |37.| 192.168.100.193 |                   0 |                15 |38.+-----------------+---------------------+-------------------+39.14 rows in set (0.01 sec)40. 41.zjy@performance_schema 12:05:21>select * from accounts;42.+------------------+-----------------+---------------------+-------------------+43.| USER             | HOST            | CURRENT_CONNECTIONS | TOTAL_CONNECTIONS |44.+------------------+-----------------+---------------------+-------------------+45.| cacti            | 192.168.100.251 |                   0 |              4313 |46.| debian-sys-maint | localhost       |                   0 |                36 |47.| backup           | 192.168.100.193 |                   0 |                15 |48.| dchat_api        | 192.168.100.220 |                  80 |           1382585 |49.| dchat_php        | 192.168.100.220 |                   0 |             20292 |50.| zjy              | 192.168.100.139 |                   0 |               698 |51.| zjy              | 192.168.100.241 |                   0 |             21558 |52.| mha_data         | 192.168.100.191 |                   1 |                34 |53.| dxyslave         | 192.168.100.118 |                   1 |                 2 |54.| kol              | 192.168.100.240 |                  10 |            172431 |55.| dxyslave         | 192.168.100.25  |                   1 |                 7 |56.| dchat_data       | 192.168.100.218 |                  70 |           1109974 |57.| zjy              | 192.168.100.23  |                   1 |                31 |58.| dchat_php        | 192.168.100.218 |                   0 |             17572 |59.| dchat_data       | 192.168.100.220 |                  70 |           1123306 |60.| NULL             | NULL            |                   0 |             15868 |61.| mha_data         | 192.168.100.21  |                   0 |                 2 |62.| dchat_api        | 192.168.100.218 |                  80 |           1371918 |63.| nagios           | localhost       |                   0 |             10771 |64.+------------------+-----------------+---------------------+-------------------+view sourceprint?

七:Summary 表: Summary表聚集了各个维度的统计信息包括表维度,索引维度,会话维度,语句维度和锁维度的统计信息

1,events_waits_summary_global_by_event_name:按等待事件类型聚合,每个事件一条记录

1.CREATE TABLE `events_waits_summary_global_by_event_name` (2.`EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',3.`COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',4.`SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',5.`MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',6.`AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',7.`MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间'8.) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8view sourceprint?

2,events_waits_summary_by_instance:按等待事件对象聚合,同一种等待事件,可能有多个实例,每个实例有不同的内存地址,因此event_name+object_instance_begin唯一确定一条记录。


01.CREATE TABLE `events_waits_summary_by_instance` (02.`EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',03.`OBJECT_INSTANCE_BEGIN` bigint(20) unsigned NOT NULL COMMENT '内存地址',04.`COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',05.`SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',06.`MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',07.`AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',08.`MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间'09.) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8view sourceprint?

3,events_waits_summary_by_thread_by_event_name:按每个线程和事件来统计,thread_id+event_name唯一确定一条记录。

01.CREATE TABLE `events_waits_summary_by_thread_by_event_name` (02.`THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',03.`EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',04.`COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',05.`SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',06.`MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',07.`AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',08.`MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间'09.) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8view sourceprint?

4,events_stages_summary_global_by_event_name:按事件阶段类型聚合,每个事件一条记录,表结构同上。

5,events_stages_summary_by_thread_by_event_name:按每个线程和事件来阶段统计,表结构同上。

6,events_statements_summary_by_digest:按照事件的语句进行聚合。

01.CREATE TABLE `events_statements_summary_by_digest` (02.`SCHEMA_NAME` varchar(64) DEFAULT NULL COMMENT '库名',03.`DIGEST` varchar(32) DEFAULT NULL COMMENT '对SQL_TEXT做MD5产生的32位字符串。如果为consumer表中没有打开statement_digest选项,则为NULL',04.`DIGEST_TEXT` longtext COMMENT '将语句中值部分用问号代替,用于SQL语句归类。如果为consumer表中没有打开statement_digest选项,则为NULL。',05.`COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',06.`SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',07.`MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',08.`AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',09.`MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间',10.`SUM_LOCK_TIME` bigint(20) unsigned NOT NULL COMMENT '锁时间总时长',11.`SUM_ERRORS` bigint(20) unsigned NOT NULL COMMENT '错误数的总',12.`SUM_WARNINGS` bigint(20) unsigned NOT NULL COMMENT '警告的总数',13.`SUM_ROWS_AFFECTED` bigint(20) unsigned NOT NULL COMMENT '影响的总数目',14.`SUM_ROWS_SENT` bigint(20) unsigned NOT NULL COMMENT '返回总数目',15.`SUM_ROWS_EXAMINED` bigint(20) unsigned NOT NULL COMMENT '总的扫描的数目',16.`SUM_CREATED_TMP_DISK_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建磁盘临时表的总数目',17.`SUM_CREATED_TMP_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建临时表的总数目',18.`SUM_SELECT_FULL_JOIN` bigint(20) unsigned NOT NULL COMMENT '第一个表全表扫描的总数目',19.`SUM_SELECT_FULL_RANGE_JOIN` bigint(20) unsigned NOT NULL COMMENT '总的采用range方式扫描的数目',20.`SUM_SELECT_RANGE` bigint(20) unsigned NOT NULL COMMENT '第一个表采用range方式扫描的总数目',21.`SUM_SELECT_RANGE_CHECK` bigint(20) unsigned NOT NULL COMMENT '',22.`SUM_SELECT_SCAN` bigint(20) unsigned NOT NULL COMMENT '第一个表位全表扫描的总数目',23.`SUM_SORT_MERGE_PASSES` bigint(20) unsigned NOT NULL COMMENT '',24.`SUM_SORT_RANGE` bigint(20) unsigned NOT NULL COMMENT '范围排序总数',25.`SUM_SORT_ROWS` bigint(20) unsigned NOT NULL COMMENT '排序的记录总数目',26.`SUM_SORT_SCAN` bigint(20) unsigned NOT NULL COMMENT '第一个表排序扫描总数目',27.`SUM_NO_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '没有使用索引总数',28.`SUM_NO_GOOD_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '',29.`FIRST_SEEN` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' COMMENT '第一次执行时间',30.`LAST_SEEN` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' COMMENT '最后一次执行时间'31.) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8view sourceprint?

7,events_statements_summary_global_by_event_name:按照事件的语句进行聚合。表结构同上。

8,events_statements_summary_by_thread_by_event_name:按照线程和事件的语句进行聚合,表结构同上。

9,file_summary_by_instance:按事件类型统计(物理IO维度)

10,file_summary_by_event_name:具体文件统计(物理IO维度)

9和10一起说明:

统计IO操作:COUNT_STAR,SUM_TIMER_WAIT,MIN_TIMER_WAIT,AVG_TIMER_WAIT,MAX_TIMER_WAIT

统计读 :COUNT_READ,SUM_TIMER_READ,MIN_TIMER_READ,AVG_TIMER_READ,MAX_TIMER_READ, SUM_NUMBER_OF_BYTES_READ

统计写 :COUNT_WRITE,SUM_TIMER_WRITE,MIN_TIMER_WRITE,AVG_TIMER_WRITE,MAX_TIMER_WRITE, SUM_NUMBER_OF_BYTES_WRITE

统计其他IO事件,比如create,delete,open,close等:COUNT_MISC,SUM_TIMER_MISC,MIN_TIMER_MISC,AVG_TIMER_MISC,MAX_TIMER_MISC

11,table_io_waits_summary_by_table:根据wait/io/table/sql/handler,聚合每个表的I/O操作(逻辑IO纬度)

统计IO操作:COUNT_STAR,SUM_TIMER_WAIT,MIN_TIMER_WAIT,AVG_TIMER_WAIT,MAX_TIMER_WAIT

统计读 :COUNT_READ,SUM_TIMER_READ,MIN_TIMER_READ,AVG_TIMER_READ,MAX_TIMER_READ

:COUNT_FETCH,SUM_TIMER_FETCH,MIN_TIMER_FETCH,AVG_TIMER_FETCH, MAX_TIMER_FETCH

统计写 :COUNT_WRITE,SUM_TIMER_WRITE,MIN_TIMER_WRITE,AVG_TIMER_WRITE,MAX_TIMER_WRITE

INSERT统计,相应的还有DELETE和UPDATE统计:COUNT_INSERT,SUM_TIMER_INSERT,MIN_TIMER_INSERT,AVG_TIMER_INSERT,MAX_TIMER_INSERT

12,table_io_waits_summary_by_index_usage:与table_io_waits_summary_by_table类似,按索引维度统计

13,table_lock_waits_summary_by_table:聚合了表锁等待事件,包括internal lock 和 external lock

internal lock通过SQL层函数thr_lock调用,OPERATION值为:read normal、read with shared locks、read high priority、read no insert、write allow write、write concurrent insert、write delayed、write low priority、write normalexternal lock则通过接口函数handler::external_lock调用存储引擎层,OPERATION列的值为:read external、write external



14,Connection Summaries表:account、user、host

events_waits_summary_by_account_by_event_nameevents_waits_summary_by_user_by_event_nameevents_waits_summary_by_host_by_event_name events_stages_summary_by_account_by_event_nameevents_stages_summary_by_user_by_event_nameevents_stages_summary_by_host_by_event_name events_statements_summary_by_account_by_event_nameevents_statements_summary_by_user_by_event_nameevents_statements_summary_by_host_by_event_name









15,socket_summary_by_instance、socket_summary_by_event_name:socket聚合统计表。

八:其他相关表

1,performance_timers:系统支持的统计时间单位

2,threads:监视服务端的当前运行的线程

统计应用:

关于SQL维度的统计信息主要集中在events_statements_summary_by_digest表中,通过将SQL语句抽象出digest,可以统计某类SQL语句在各个维度的统计信息

1,哪个SQL执行最多:

01.zjy@performance_schema 11:36:22>*************************** SELECT SCHEMA_NAME,DIGEST_TEXT,COUNT_STAR,SUM_ROWS_SENT,SUM_ROWS_EXAMINED,FIRST_SEEN,LAST_SEEN FROM events_statements_summary_by_digest ORDER BY COUNT_STAR desc LIMIT 1G02.1. row ***************************: dchat03.SCHEMA_NAME04.: SELECT ...DIGEST_TEXT05.: COUNT_STAR116121010206.SUM_ROWS_SENT: 116120784207.SUM_ROWS_EXAMINED: 0: 08.FIRST_SEEN2016-02-17 00:36:46: 09.LAST_SEEN2016-03-07 11:36:29view sourceprint?

各个字段的注释可以看上面的表结构说明:从2月17号到3月7号该SQL执行了1161210102次。

2,哪个SQL平均响应时间最多:

01.zjy@performance_schema 11:36:28>*************************** SELECT SCHEMA_NAME,DIGEST_TEXT,COUNT_STAR,AVG_TIMER_WAIT,SUM_ROWS_SENT,SUM_ROWS_EXAMINED,FIRST_SEEN,LAST_SEEN FROM events_statements_summary_by_digest ORDER BY AVG_TIMER_WAIT desc LIMIT 1G02.1. row ***************************<co

以上就是MySQL5.6PERFORMANCE_SCHEMA说明_MySQL的内容,

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